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Record W4405921084 · doi:10.1128/aem.01725-24

Genomic and metabolic characterization of <i>Trueperella pyogenes</i> isolated from domestic and wild animals

2024· article· en· W4405921084 on OpenAlexaff
Gabriela Magossi, Katherine E. Gzyl, Devin B. Holman, T. G. Nagaraja, Raghavendra G. Amachawadi, Samat Amat

Bibliographic record

VenueApplied and Environmental Microbiology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiphtheria, Corynebacterium, and Tetanus
Canadian institutionsAgriculture and Agri-Food Canada
FundersNorth Dakota State University
KeywordsBiologyMicrobiologyComputational biologyBiotechnology

Abstract

fetched live from OpenAlex

ABSTRACT Trueperella pyogenes is an important bacterial pathogen implicated in infections such as mastitis, metritis, pneumonia, and liver abscesses in both domestic and wild animals, as well as endocarditis and prosthetic joint infections in humans. Understanding the genomic and metabolic features that enable T. pyogenes to colonize different anatomical sites within a host and its inter-kingdom transmission and survival is important for the effective control of this pathogen. We employed whole-genome sequencing, phenotype microarrays, and antimicrobial susceptibility testing to identify genomic, metabolic and phenotypic features, and antimicrobial resistance (AMR) genes in T. pyogenes recovered from different livestock, companion, and wildlife animals. For comparative genomic analysis, 83 T. pyogenes genomes, including 60 isolated in the current study and 23 publicly available genomes were evaluated. These genomes represented T. pyogenes strains originating from 16 different body sites of 11 different animal hosts (e.g., cattle, swine, ovine, deer, bison, horse, chamois, and cat). Additionally, 49 T. pyogenes isolates (cattle, sheep, deer, swine, and cats) were evaluated for phenotypic AMR using disk diffusion, and for metabolic profiling using the Biology GENIII MicroPlates. The T. pyogenes strains were found not to be host- or body site-specific. The presence of conserved virulence genes ( plo and fimA ), as well as genotypic and phenotypic AMR may contribute to the ability of T. pyogenes to cause infections in livestock, wildlife, and pets. Most of the tested isolates metabolized diverse carbon sources and chemical compounds, suggesting that this metabolic versatility may enhance the survival, competitiveness, and pathogenic potential of T. pyogenes . IMPORTANCE Trueperella pyogenes is an important animal pathogen with zoonotic potential, posing a significant health concern to both animals and humans due to its ability to cause infections across different animal host species and tissues. Current understanding of this pathogen’s adaptability and survival mechanisms is limited. Here, we evaluated the genomic, virulence, metabolic, and antimicrobial resistance (AMR) characteristics of T. pyogenes recovered from 16 different body sites of 11 different animal hosts (livestock, companion, and wild animals). We identified multiple AMR and virulence genes that may enable T. pyogenes for sustained infection and transmission. Additionally, T. pyogenes strains displayed metabolic versatility which could also contribute to its ability to thrive in diverse environments. Understanding the genomic and metabolic, and AMR characteristics that enable T. pyogenes to colonize different anatomical sites within a host and its transmission between different animal species is important for the effective control of this pathogen.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.602

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.169
Teacher spread0.166 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2024
Admission routes1
Has abstractyes

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